Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers. [PDF]
Atacak İ, Kılıç K, Doğru İA.
europepmc +1 more source
Android Malware Detection Systems Review
With the smartphones entering our lives, the number of smartphones continues to increase day by day. The reason why smartphones are in so demand is that people can easily do what they want. According to IDC's 2016 Q2 report, Android dominated the smartphone market with an 87.6% share [1].
Ömer Kiraz, İbrahim Alper Doğru
openaire +1 more source
A Hybrid Analysis-Based Approach to Android Malware Family Classification. [PDF]
Ding C, Luktarhan N, Lu B, Zhang W.
europepmc +1 more source
PICAndro: Packet InspeCtion-Based Android Malware Detection [PDF]
Vikas Sihag +4 more
openalex +1 more source
Reassessing feature-based Android malware detection in a contemporary context. [PDF]
Muzaffar A +3 more
europepmc +1 more source
Beyond the virus: a first look at coronavirus-themed Android malware. [PDF]
Wang L +10 more
europepmc +1 more source
Would You Mind Hiding My Malware? Building Malicious Android Apps with Stegopack
Danilo Dell apos Orco +4 more
openalex +1 more source
Graph-augmented multi-modal learning framework for robust android malware detection. [PDF]
Tanveer MU +5 more
europepmc +1 more source
MaSS-Droid: Android Malware Detection Framework Using Multi-Layer Feature Screening and Stacking Integration. [PDF]
Zhang Z, Han Q, Shi Z.
europepmc +1 more source

